Output fixed‐time synchronization of discontinuous coupled neural networks with multiple output couplings-Reference-Cited by-同舟云学术

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Output fixed‐time synchronization of discontinuous coupled neural networks with multiple output couplings

Published:2022-05-04 Issue:16 Volume:45 Page:9753-9768
ISSN:0170-4214
Container-title:Mathematical Methods in the Applied Sciences
language:en
Short-container-title:Math Methods in App Sciences

Author:

Wei Ruoyu¹^ORCID,Cao Jinde²³⁴^ORCID,Duan Peiyong⁵,Gorbachev Sergey⁶^ORCID

Affiliation:

1. School of Mathematics and Statistics Nanjing University of Information Science and Technology Nanjing China

2. School of Mathematics, Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing China

3. Purple Mountain Laboratories Nanjing China

4. Yonsei Frontier Lab Yonsei University Seoul South Korea

5. School of Mathematics and Information Sciences Yantai University Yantai China

6. Department of Innovative Technologies National Research Tomsk State University Tomsk Russia

Funder

Natural Science Foundation of Jiangsu Province

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.8333

Reference28 articles.

1. Synchronization of Coupled Reaction-Diffusion Neural Networks with Time-Varying Delays via Pinning-Impulsive Controller

2. Global Exponential Synchronization of Coupled Delayed Memristive Neural Networks With Reaction–Diffusion Terms via Distributed Pinning Controls

3. Cluster synchronization in an array of coupled stochastic delayed neural networks via pinning control

4. Leaderless synchronization of coupled neural networks with the event-triggered mechanism

5. Synchronization of Markovian Coupled Neural Networks With Nonidentical Node-Delays and Random Coupling Strengths

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fixed-Time Passivity and Synchronization of Multiweighted Coupled Memristive Neural Networks With Adaptive Couplings;IEEE Transactions on Neural Networks and Learning Systems;2024

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